title: Digital compressive chemical quantitation and hyperspectral imaging.
abstract: Digital compressive detection, implemented using optimized binary (OB) filters, is shown to greatly increase the speed at which Raman spectroscopy can be used to quantify the composition of liquid mixtures and to chemically image mixed solid powders. We further demonstrate that OB filters can be produced using multivariate curve resolution (MCR) to pre-process mixture training spectra, thus facilitating the quantitation of mixtures even when no pure chemical component samples are available for training.
authors.affiliation: Purdue University, Department of Chemistry, West Lafayette, IN, USA.
authors.forename: David S
authors.initials: DS
authors.lastname: Wilcox
authors.forename: Gregery T
authors.initials: GT
authors.lastname: Buzzard
authors.forename: Bradley J
authors.initials: BJ
authors.lastname: Lucier
authors.forename: Owen G
authors.initials: OG
authors.lastname: Rehrauer
authors.forename: Ping
authors.initials: P
authors.lastname: Wang
authors.forename: Dor
authors.initials: D
authors.lastname: Ben-Amotz